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自适应遗传算法在气田开发规划产量分配优化模型中的应用
引用本文:邓勇,刘志斌,陆燕妮. 自适应遗传算法在气田开发规划产量分配优化模型中的应用[J]. 大庆石油地质与开发, 2006, 25(3): 45-47
作者姓名:邓勇  刘志斌  陆燕妮
作者单位:西南石油大学,研究生院,四川,成都,610500;中石化西南分公司物资供应中心,四川,德阳,618000
摘    要:在气田开发规划产量分配优化模型的基础上,引入一种具有自适应选择、自适应交叉与自适应变异操作的自适应遗传算法对模型的求解进行了研究,并运用MATLAB6.0编写算法程序,选取开发规划产量分配优化模型中的定成本产量最大模型,实例分析该算法在气田开发规划产量分配优化模型中的具体应用,并与传统遗传算法和SUMT方法进行结果对比,取得了较好的效果.

关 键 词:自适应  遗传算法  开发规划  产量分配  优化模型
文章编号:1000-3754(2006)03-0045-03
收稿时间:2005-06-13
修稿时间:2005-06-13

Application of Self-adaptation Genetic Algorithm to Production Distribution Optimization Model for Gas Field Development Planning
DENG Yong,et al.. Application of Self-adaptation Genetic Algorithm to Production Distribution Optimization Model for Gas Field Development Planning[J]. Petroleum Geology & Oilfield Development in Daqing, 2006, 25(3): 45-47
Authors:DENG Yong  et al.
Abstract:Based on the production distribution optimization model for gas field development planning,a kind of self-adaptation genetic algorithm(AGA) was inducted for model resolution.This kind of AGA was characterized by self-adapted selection,self-adapted cross and self-adapted variation operation.MATLAB6.0 was applied for algorithm routine edition,and the maximum production model for fixed cost was selected among the production distribution optimization models for development planning.Examples was used to analyze the application of this algorithm to the production distribution optimization model for gas field development planning,and the application results were compared to those of SGA and SUMT methods.The application results of AGA method were better.
Keywords:self-adaptation  genetic algorithm  development planning  production distribution  optimization model
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